Systems and Methods for Determining the Scale of Human Anatomy from Images

4. The method of claim 1, wherein the calibration target is comprised of a parameterized three-dimensional reconstruction, and wherein the calibration target is distorted based, at least in part, on facial movements, eye movements, or a combination thereof to fit the detected facial features of the user's face.

7. The method of claim 1, wherein the digital input includes one or more of a series of images from a singular image sensor taken from different camera positions, a video taken from different camera positions, a series of images or a video taken from different perspectives with depth information included, a 3D point cloud captured from a depth or 3D sensor, a series of images from multiple 2D sensors, a video captured from multiple 2D sensors, or a combination thereof.

13. The system of claim 10, wherein the calibration target is comprised of a parameterized three-dimensional reconstruction, and wherein the calibration target is distorted based, at least in part, on facial movements, eye movements, or a combination thereof to fit the detected facial features of the user's face.

16. The system of claim 10, wherein the first digital input includes one or more of a series of images from a singular image sensor taken from different camera positions, a video taken from different camera positions, a series of images or a video taken from different perspectives with depth information included, a 3D point cloud captured from a depth or 3D sensor, a series of images from multiple 2D sensors, a video captured from multiple 2D sensors, or a combination thereof.

19. The non-transitory computer readable medium of claim 17, wherein the calibration target is comprised of a parameterized three-dimensional reconstruction, and wherein the calibration target is distorted based, at least in part, on facial movements, eye movements, or a combination thereof to fit the detected facial features of the user's face.

20. The non-transitory computer readable medium of claim 17, wherein the digital input includes one or more of a series of images from a singular image sensor taken from different camera positions, a video taken from different camera positions, a series of images or a video taken from different perspectives with depth information included, a 3D point cloud captured from a depth or 3D sensor, a series of images from multiple 2D sensors, a video captured from multiple 2D sensors, or a combination thereof.